Quality Engineering

IoT Testing

The latest testing and automation capabilities – from sensors to cloud – to ensure seamless performance and functionality of your IoT products and solutions

the challenge

IoT Creates a Whole New Set of Dev & Test Challenges

IoT is a key enabler of digital transformation because of the innovation, engagement, and efficiency opportunities it offers for businesses and their users. However, the technology presents a variety of challenges for delivery teams, including:

  • A plethora of new and different devices, networks, and sensors
  • Entirely new communication protocols
  • Complex integration requirements
  • Functionality and connectivity being attempted, in many cases, for the first time
  • Human-subject-based testing scenarios

What we do

Custom IoT Testing with the Latest Digital Technologies

Whether you’re a component manufacturer, device maker, or solution provider, we can get your IoT initiatives to market faster and with less risk. Our IoT Testing services combine extensive digital QA and test automation capabilities with a cloud-based enterprise IoT architecture. This integrates all elements of your IoT initiatives to properly evaluate functionality and performance while providing constant validation and verification across all types of use cases and functions.

 

Our Offerings

End-to-End IoT Testing Services

Comprehensive IoT test solutions covering hardware, device, connectivity, cloud, and application

Algorithm
Validation

Ground Truth
Validation
 
 
Device Benchmarking
& Comparison
Stress &
Performance Testing
Manual to
Automation Testing
Maintenance
Data Testing
Using Firmware
Simulation-Based
Testing
Interrupt
Testing
Human Subject
Validation Testing
Wearable Biosensor
Testing

We support a Variety of IoT Use Cases

We can test your IoT application’s end-to-end performance, functionality, and connectivity, no matter the requirements.

Audio Visual
Simulate and test any A/V inputs and actions; e.g., devices that scan images, digital walls, controlled lighting, remote robots, preset environments, etc.

Space Matrix

Validate the accuracy of sensors within 0.01mm; ideal for accelerometer- and gyroscope-based sensors. Manage test data collection, analysis display, and statistical aggregation.

Human-Subject-Based Testing

Identify and validate device and application variances based on live individual characteristics and interactions, e.g., heart rate. Test data collection, comparison, and reporting; refine algorithms.

 

Connectivity/ Compatibility

Test device operation under different environmental conditions and IoT protocols, e.g., Bluetooth, BLE, WiFi, ZigBee, GPS, Beacons, etc.

Agitator

Simulate human variables to test device operation; walking, running, sitting, etc.

Location

Test devices that depend on location; e.g., obtaining location data, types of data in different conditions

Robotics

Test IoT robots under different physical and environmental conditions. Simulate automated testing using robots.

Mobile

Test and monitor any IoT app on live devices in real-world user conditions. Take advantage of existing integrations, test frameworks, and automation tools.

THE OUTCOMES WE DELIVER

Testing That Gets Your IoT Innovations to Market Faster

Rapinno IoT Testing services deliver significant business advantages:

Faster Time-to-Market

Eliminate process inefficiencies, increase test effectiveness, eliminate rework

Increased Competitive Advantage

Beat competitors to market with innovations; gain first-mover advantage

Increased User Satisfaction

Properly tested IoT products and services that deliver for users

Increased Revenues & Profitability

Faster time to market and higher customer satisfaction increases loyalty, retention, sales and profitability
Our methodology
hide
how we do it

Our approach

A Comprehensive Approach to Customer Lab-Based Testing

Rapinno can address the unique test and QA requirements for any individual IoT device or application. We provide R&D expertise and work with your team to create the ideal test/validation solution.


This includes creating physical labs as needed to assure the quality and performance of your IoT devices and software.

Identity tools for validation testing

Lab
poc

Custom roll out of lab

Agile Iterative Validation

Custom reports

Proven technology accelerators

We also leverage a set of proprietary technology accelerators for faster time-to-value:

IoT Test Automation Framework

Extensions for existing automation frameworks to automate IoT device interface testing

BDD-Driven End-to-End Test Scenarios

Behavior-driven testing extensions to help the business and its technical team deliver software that fulfills business goals by answering questions

Remote Device Management Solution

Solution to collect, process, analyze and visualize data from edge devices, hubs, and companion apps IoT device cloud – provides remote access for development and testing

Firmware Messaging Protocol Unit Testing Framework

Configurable BLE messaging protocol testing for firmware updates and Manufacturing device verification

Software as a Medical Device (SaMD) Quality Management

Framework to manage FDA compliance processes

HEALTH

  • Raw data collection
  • Data comparison/analysis
  • Algorithm refinement
  • Comparison reporting
  • Device interaction, response

Medical Equipment/Labs

  • Raw data collection
  • Data comparison/analysis
  • Algorithm refinement
  • Comparison reporting
  • Device interaction, response

SPORTS

  • Motion capture
  • Data capture
  • Data analysis
  • Personal display
  • Data/results sharing
  • Ongoing statistics

MEDIA

  • Digital walls
  • Content relevance
  • Push capability
  • Controlled lighting
  • Remote robots
  • Preset environments

Retail

  • Push notifications
  • Personalized experiences
  • Product availability tracking
  • Consumer response
  • Dwell time monitoring
  • Mobile payment
  • Content relevance

key
partnerships

Rapinno can accelerate your time-to-market and increase your agility with our comprehensive suite of AWS offerings. Industry-best standards and AWS-guided design patterns drive our AWS cloud solutions. In addition, we adhere to a disciplined continuous review process with experienced and talented AWS-Certified resources.
learn more

More information about our expertise in IoT testing in following fact sheets

The right time to think IoT is now

Testing Connection between Human Vitals and Wearable Biosensors

why Rapinno

Proven IoT Testing Frameworks & Device Simulators

Rapinno has tested multiple IoT use cases and helped enterprises bring their innovations to market quickly and efficiently. Our strong domain expertise has led to the development of critical accelerators, e.g., IoT Testing frameworks and device simulators) for MedTech resulting in faster time-to-value

17+ Years in Testing/
QA for Digital

Our experience helps ensure that your IoT products and services deliver for your users and your business

Dedicated
Testing Labs

Offer the right software and hardware environment needed to address a wide range of IoT use cases, including industry-specific applications for sports retail, media, and health

Agile,
Team-Oriented
Approach

Well-versed QA engineers with comprehensive skills with the latest frameworks, languages, and tools

Hands-On Expertise with the Leading Testing Tools and Platforms

To accelerate your deployment and take full advantage of all their capabilities to maximize your ROI

Proprietary
Technology
Accelerators

To speed IoT testing and reduce the risk of performance issues in production

INDUSTRY
RECOGNITION

Recognized by many of the leading industry analysts including:

Identified as a Strong Digital Engineering Partner for IoT-Centric Projects

Recognized as a Leader in Several Zinnov Zones for 2020

FAQ’s – Data Strategy

IoT testing framework refers to a structured approach or set of guidelines used to test the functionality, performance, and security of IoT (Internet of Things) devices and systems. It involves a comprehensive evaluation of interconnected devices, sensors, networks, and software applications to ensure they function seamlessly and securely in real-world scenarios. A robust IoT testing framework typically includes strategies for functional testing, performance testing, security testing, compatibility testing, and interoperability testing to address the complexities of IoT ecosystems effectively.

IoT automation testing relies on a variety of specialized tools tailored to the unique requirements of IoT environments. Some commonly used tools include:
  • Selenium: Adapted for IoT, Selenium aids in automating web applications across various platforms.
  • Appium: Primarily used for mobile app automation, Appium can also be extended for testing IoT mobile applications.
  • Jenkins: An open-source automation server, Jenkins facilitates continuous integration and continuous delivery (CI/CD) pipelines for IoT testing.
  • JMeter: Suitable for performance testing, JMeter helps simulate various scenarios to assess the performance of IoT devices and networks.
  • SoapUI: Useful for testing web services and APIs, SoapUI assists in ensuring the seamless communication between IoT devices and backend systems.
  • Postman: Ideal for API testing, Postman enables testers to validate the functionality and reliability of IoT APIs.
These tools, along with custom scripts and frameworks, play a crucial role in streamlining the automation testing process for IoT deployments.

Usability testing in IoT focuses on evaluating the ease of use, intuitiveness, and overall user experience of IoT devices and applications. It involves gathering feedback from real users through controlled experiments, surveys, and observational studies to identify usability issues and improve the design and functionality of IoT solutions. Usability testing in IoT encompasses various aspects, including navigation, interface design, responsiveness, accessibility, and error handling, to ensure that IoT products meet the needs and expectations of end-users effectively.

IoT testing requires careful planning and consideration of several prerequisites to ensure comprehensive coverage and accurate results. Some key prerequisites include:

  • Understanding of IoT architecture: Testers need a solid understanding of the underlying architecture of IoT systems, including devices, sensors, gateways, communication protocols, and cloud platforms.
  • Access to diverse environments: Access to a diverse range of test environments, including simulated environments, real-world scenarios, and various network conditions, is essential for thorough testing.
  • Security expertise: Given the security implications of IoT, testers must possess expertise in identifying and addressing security vulnerabilities and ensuring compliance with industry standards and regulations.
  • Test data management: Effective test data management practices are crucial for IoT testing to ensure the availability of relevant and realistic data sets for testing various use cases and scenarios.
  • Scalable infrastructure: Scalable testing infrastructure, including hardware, software, and cloud resources, is necessary to accommodate the complexities and scalability requirements of IoT deployments.
  •  

By addressing these prerequisites, testers can conduct comprehensive IoT testing and ensure the reliability, performance, and security of IoT solutions.

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